IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v377y2025ipbs0306261924019160.html
   My bibliography  Save this article

Multi-objective optimization design for a 15 MW semisubmersible floating offshore wind turbine using evolutionary algorithm

Author

Listed:
  • Wang, Jiazhi
  • Ren, Yajun
  • Shi, Wei
  • Collu, Maurizio
  • Venugopal, Vengatesan
  • Li, Xin

Abstract

This paper introduces a framework designed to optimize the configuration of a 15 MW floating offshore wind turbine (FOWT) with a focus on the cost. The proposed framework employs a multi-objective evolutionary algorithm, integrating frequency domain (FD) simulations with equilibrium analysis to assess the responses of the floating platform and its mooring system. The objective function of the optimization includes the steel structural mass of the floating platform, the pitch heeling angle, and the motion response amplitude operator (RAO) peak as determined by the FD simulation. Constraints pertinent to these objective functions, alongside the safety of the mooring system and the dynamic response and parameter settings of the FOWT, are meticulously enforced. The resulting optimized designs exhibit substantial improvements in the steel structural mass and pitch heeling angle compare to the initial design parameters. The reliability of this optimization framework is corroborated through time domain (TD) simulations, which elucidate the effects of the pitch heel angle and motion RAO peaks on the time domain response of the optimized structures. These insights offer reference for the future optimization of floating platforms and mooring systems in the realm of offshore wind energy.

Suggested Citation

  • Wang, Jiazhi & Ren, Yajun & Shi, Wei & Collu, Maurizio & Venugopal, Vengatesan & Li, Xin, 2025. "Multi-objective optimization design for a 15 MW semisubmersible floating offshore wind turbine using evolutionary algorithm," Applied Energy, Elsevier, vol. 377(PB).
    • Handle: RePEc:eee:appene:v:377:y:2025:i:pb:s0306261924019160
    DOI: 10.1016/j.apenergy.2024.124533
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924019160
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.124533?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Souleymane Drabo & Siqi Lai & Hongwei Liu & Xiangheng Feng, 2024. "10 MW FOWT Semi-Submersible Multi-Objective Optimization: A Comparative Study of PSO, SA, and ACO," Energies, MDPI, vol. 17(23), pages 1-23, November.
    2. Yajun Ren & Mingxuan Huang & Jungang Hao & Jiazhi Wang & Shuai Li & Ling Zhu & Haisheng Zhao & Wei Shi, 2024. "Local Structure Optimization Design of Floating Offshore Wind Turbine Platform Based on Response Surface Analysis," Energies, MDPI, vol. 17(24), pages 1-24, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:377:y:2025:i:pb:s0306261924019160. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.